Radon transformation for Arabic character recognition

In this paper an algorithm adopted the properties given by Radon transformation studied to be used by an optical character recognition system for printed Arabic characters. The algorithm gets a high difference between the character features which was extracted by Radon transformation, when it was applied on isolated Arabic characters. A preprocess was needed to be done on the character image before applying Radon transformation. The preprocess steps include the following: 1) truncation for all unused area. 2) size normalization. 3) character skelton by applying thinning continuously. And a database file was created to hold the following features: - The printed character - character image - Radon coordinates - number of pixels individual printed characters are tested. Even the tested characters were so closed to each other, a high rate of recognition reached.